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Carrying out a hit-and-run victim's deathbed wish, a young woman turns to a former Special Forces commando for help when she becomes the target of a twisted killer When she arrived at the scene of a hit-and-run, Atlanta reporter-turned-paramedic Kirke Palmer didn't expect to end up carrying out a deathbed wish. But now, bound by her promise to a man she couldn't save, Kirke tries to track down someone named Mitch Edwards. She's soon blindsided by a stranger who claims to be the victim's brother... a rugged, guarded man who radiates danger and arouses irresistible desire. Jake Kelly just spent seven years in a high-security prison for a crime he didn't commit. The former Special Forces commando came to Atlanta to meet the CIA operative who supposedly died in a South American sting gone awry. Except now Del Cox is really dead, and Jake has only two leads. One is the paramedic he witnessed taking an envelope from Cox before he died. With Kirke under attack and the ghosts from his military past back on the radar, Jake races to find out who betrayed him on that fateful final mission. And time is running out.

As the technology node scales down to 5nml3nm, the consequent difficulty has been widely lamented. The defects on the surface of wafers are much more prone to emerge during manufacturing than ever. What's worse, various single-type defect patterns may be coupled on a wafer and thus shape a mixed-type pattern. To improve yield during the design cycle, mixed-type wafer defect pattern recognition is required to perform to identify the failure mechanisms. Based on these issues, we revisit failure dies on wafer maps by treating them as point sets in two-dimensional space and propose a two-stage classification framework, PoLM. The challenge of noise reduction is considerably improved by first using an adaptive alpha-shapes algorithm to extract intricate geometric features of mixed-type patterns. Unlike sophisticated frameworks based on CNNs or Transformers, PoLM only completes classification within a point cloud cluster for aggregating and dispatching features. Furthermore, recognizing the remarkable success of large pre-trained foundation models (e.g., OpenAI's GPT-n series) in various visual tasks, this paper also introduces a training paradigm leveraging these pre-trained models and fine-tuning to improve the final recognition. Experiments demonstrate that our proposed framework significantly surpasses the state-of-the-art methodologies in classifying mixed-type wafer defect patterns.

The widespread adoption of third-party libraries (TPLs) in software development has significantly accelerated the creation of modern software. However, this convenience comes with potential legal risks. Developers may inadvertently violate the licenses of TPLs, leading to legal issues. While existing studies have explored software licenses and potential incompatibilities, these studies often focus on a limited set of licenses or rely on low-quality license data, which may affect their conclusions. To address this gap, there is an urgent need for a high-quality license dataset that encompasses a broad range of mainstream licenses and provides accurate terms and conflict information, to help developers navigate the complex landscape of software licenses, avoid potential legal pitfalls, and guide more informed and effective solutions for managing license compliance and compatibility in software development. To this end, we conduct the first work to understand the mainstream software licenses based on term granularity and obtain a high-quality dataset of 453 SPDX licenses with well-labeled terms and conflicts. Specifically, we first conduct a differential analysis of the mainstream platforms that provide license data to understand the terms and attitudes of each license. N ext, we further propose a standardized set of license terms to capture and label existing mainstream licenses with high quality. Moreover, we improve the existing license conflict mode to include copyleft conflicts and conclude the three major types of license conflicts among the 453 SPDX licenses. Based on the dataset, we carry out two empirical studies to reveal the concerns and threats from the perspectives of both licensors and licensees. One study provides an in-depth analysis of the similarities, differences, and conflicts among SPDX licenses, and the other revisits the usage and conflicts of licenses in the NPM ecosystem and draws conclusions that differ from previous work. Our studies reveal some insightful findings and disclose relevant analytical data, which set the stage for further research into the complexities of license compliance and compatibility.

Understanding the intra-annual dynamics of nitrogen (N) turnover across entire crop rotations is essential for minimizing N losses, as these dynamics carry legacy effects spanning agrohydrological years. While catch-crops (CCs) are widely adopted to mitigate N leaching, there is uncertainty of how their effectiveness varies across soil conditions and climates. This study used the agroecological model Daisy to evaluate regional variations, caused by differences in soil- and climatic-conditions, on N leaching in crop rotations with varying proportions of CCs, spring-, and winter-cereals as crop cover. This study utilized four soil types, from coarse sand to clay, and constructed eight 24-year crop rotation scenarios to quantify how differing levels of CC and winter cereal cover reduced annual N leaching and affected other key N-dynamics. Results confirmed that soil type alone could not explain differences in N leaching across crop rotations, but conditions such as early CC termination, restricted root development, high autumn precipitation, and percolation patterns, meant that winter wheat as an autumn cover could be equally effective as CCs in reducing annual N leaching. Although increasing CC-cover generally led to a near-linear reduction in N leaching, the magnitude of reduction varied depending on soil, CC species, and annual weather variability, ranging from 9 to 75 %. Differences between rotations could be largely explained by accounting for the intra-annual dynamics of N cycling. Finally, the high annual and site-specific variability in N leaching highlights the need for adaptive management strategies to ensure consistent reductions under increasingly unpredictable weather conditions.

This study proposes an Automatic Identification System (AIS)-based spatiotemporal allocation methodology to estimate catch distribution and fishing effort for large purse seine fisheries in Korean waters. AIS trajectory data from July 2019 to June 2022 were analyzed to identify fishing grounds, while carrier vessel port-entry records were used to estimate daily landings. These were allocated to specific fishing segments to derive spatially explicit catch quantities. Compared with periodic surveys or voluntary reports, the AIS-based approach significantly enhanced the accuracy of fishing ground identification and the reliability of catch estimation. The results showed that fishing activity peaked between November and February, with the highest catch densities observed south of Jeju Island and in adjacent East China Sea waters. Catch declined markedly from April to June due to the mackerel closed season. These findings demonstrate the method’s potential for evaluating the effectiveness of Total Allowable Catch (TAC) regulations, supporting dynamic and adaptive management frameworks, and strengthening IUU fishing monitoring. Although the current analysis is limited to TAC-regulated species, AIS-equipped vessels, and a three-year dataset, future studies could expand the timeframe, integrate environmental data, and apply this methodology to other fisheries to improve sustainable resource management.

Trawling, a widely practiced yet energy-intensive fishing method in India, relies heavily on otter boards to optimize fuel efficiency, catch rates, and economic performance. This study, conducted by the ICAR-Central Institute of Fisheries Technology (CIFT), evaluates the performance of a novel slotted V-form otter board (VSOB) against traditional non-slotted V-form otter boards (NSOB). Comprehensive field trials assessed critical parameters, including fuel consumption, net opening, and catch efficiency, under standardized trawling conditions. Results demonstrate that the VSOB design achieves a significant reduction in fuel consumption, averaging 24.7 L per hour a 15% decrease compared to NSOBs attributable to its streamlined structure that minimizes drag. Catch efficiency also improved, with an average haul yield of 19.5 kg for VSOBs compared to 17.1 kg for NSOBs. Furthermore, VSOBs facilitated the capture of a diverse range of pelagic and demersal species, meeting the operational requirements of large trawlers in southern India. Enhanced hydrodynamic performance allowed VSOBs to maintain broader spatial coverage without increasing engine RPM, improving overall operational efficiency. Fabricated from marine-grade steel, VSOBs exhibit superior durability, doubling the service life of conventional boards while reducing maintenance costs. Widespread adoption of VSOBs by 50% of India’s mechanized trawling fleet could result in annual fuel savings of approximately 60,005 L and a CO2 emissions reduction of 160.8 metric tons per hour. These findings underscore the transformative potential of advanced otter board designs in promoting energy efficient and environmentally sustainable fishing practices.

The key questions to be considered in design of the detent catch mechanism are expatiated. Under limited condition, the applied force when rocket projectile retreating and locking force of the mechanism are analysed. In order to validate the use performance, the launching momentum analysis of the operation course of the mechanism is done with finite element software, the fracture time and the shear force when the resisting shear pin is cut to fracture is ascertained, which set base for the study of launch dynamics of rocket launcher’s inner trajectory and the analysis of initial disturbance.

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English: Taking as his starting point Roman Haubenstock-Ramati’s Catch II, a piece for one or two pianos first performed in 1968, the question of how far this composer should be considered as belonging to the current of aleatory music is discussed. The work’s graphic notation is not at all conceived as an inspiration for free improvisation, but as a score to be read and performed precisely. In connection with his analytical argument, two performances by Carol Morgan, the only performer to have recorded Catch II are discussed.French: À partir de Catch II de Roman Haubenstock-Ramati, une oeuvre composée en 1968 pour un ou deux pianos, Dario Agazzi se demande s’il faut considérer le compositeur comme faisant partie du courant de la musique aléatoire. Il montre que la notation graphique de l’oeuvre n’est aucunement pensée comme inspiration pour de l’improvisation libre, mais comme partition, qu’il est légitime de lire et d’interpréter. En parallèle de ces réflexions analytiques, Agazzi discute les deux interprétations de la pianiste Carol Morgan, la seule qui ait jusqu’à ce jour enrégistré Catch II.German: Am Beispiel von Roman Haubenstock-Ramatis Catch II, einem 1968 entstandenen Werk für ein oder zwei Klaviere, diskutiert Dario Agazzi die Frage, inwieweit der Komponist der Strömung der aleatorischen Musik zuzurechnen sei. Dabei zeigt er auf, dass die graphische Notation des Werks keineswegs als Inspiration zur freien Improvisation gedacht ist, sondern als Partitur, die es genau zu lesen und umzusetzen gilt. Im Anschluss an die analytischen Ausführungen bespricht Agazzi die beiden Interpretationen der Pianistin Carol Morgan, die Catch II als bislang einzige eingespielt hat.Italian: Attraverso l’esempio di Catch II di Roman Haubenstock-Ramati, opera per uno o due pianoforti nata nel 1968, Dario Agazzi si chiede fine a che punto il compositore sia da annoverare nella corrente aleatoria. Da ciò mostra che la notazione grafica del lavoro non è affatto intesa come ispirazione nata dalla libera improvvisazione ma come partitura, che va esattamente letta e messa in atto. In seguito a dimostrazioni analitiche Agazzi discute due interpretazioni della pianista Carol Morgan, l’unica che abbia registrato finora Catch II.

We investigated fine-scale effects of environmental variables associated with habitat distribution for 4 size groups of Cape hakes, Merluccius capensis and M. paradoxus , using generalized additive models (GAMs) with a negative binominal error distribution. This study took place during the Namibian hake trawl survey of 2016, and was made possible for the first time in Namibia by collecting oceanographic information with a trawl-mounted instrument package concurrently with the catch data. Depth, geographical position, bottom oxygen and bottom temperature had the most pronounced effect on the catch rates of both hake species, whereas solar zenith angle representing diel effects and surface layer chlorophyll appeared to be less important. The explained deviance for the best models ranged from 71.4% for M. capensis to 92.7% for M. paradoxus between 43 and 57 cm in length. Differences in catch rates between species and size groups were most pronounced for bottom depth and bottom oxygen. The results show the potential value of trawl-mounted instrumental packages for the collection of reliable environmental data important in the study of environmental influence on abundance, catch rates and distribution, and in turn in the assessment and management of a resource.

The bacterial flagellar motor (BFM) is the rotary motor that rotates each bacterial flagellum, powering the swimming and swarming of many motile bacteria. The torque is provided by stator units, ion motive force-powered ion channels known to assemble and disassemble dynamically in the BFM. This turnover is mechanosensitive, with the number of engaged units dependent on the viscous load experienced by the motor through the flagellum. However, the molecular mechanism driving BFM mechanosensitivity is unknown. Here, we directly measure the kinetics of arrival and departure of the stator units in individual motors via analysis of high-resolution recordings of motor speed, while dynamically varying the load on the motor via external magnetic torque. The kinetic rates obtained, robust with respect to the details of the applied adsorption model, indicate that the lifetime of an assembled stator unit increases when a higher force is applied to its anchoring point in the cell wall. This provides strong evidence that a catch bond (a bond strengthened instead of weakened by force) drives mechanosensitivity of the flagellar motor complex. These results add the BFM to a short, but growing, list of systems demonstrating catch bonds, suggesting that this “molecular strategy” is a widespread mechanism to sense and respond to mechanical stress. We propose that force-enhanced stator adhesion allows the cell to adapt to a heterogeneous environmental viscosity and may ultimately play a role in surface-sensing during swarming and biofilm formation.

Declines of marine megafauna due to fisheries by-catch are thought to be mitigated by exclusion devices that release nontarget species. However, exclusion devices may instead conceal negative effects associated with by-catch caused by fisheries (i.e., unobserved or discarded by-catch with low postrelease survival or reproduction). We show that the decline of the endangered New Zealand (NZ) sea lion ( Phocarctos hookeri ) is linked to latent levels of by-catch occurring in sub-Antarctic trawl fisheries. Exclusion devices have been used since 2001 but have not slowed or reversed population decline. However, 35% of the variability in NZ sea lion pup production is explained by latent by-catch, and the population would increase without this factor. Our results indicate that exclusion devices can obscure rather than alleviate fishery impacts on marine megafauna.